Genetic parameters for loin eye area and other body traits of an important Neotropical aquaculture species,Colossoma macropomum(Cuvier, 1818)

Abstract

Estimating components of variance and genetic parameters of economically relevant traits is the first step towards planning a breeding program for aquaculture species. This study estimated the (co)variance components for growth rate and other body traits and then determined a multiple regression equation to assess the loin eye area (LEA) from morphometric traits of the Neotropical aquaculture species Colossoma macropomum. Estimation of variance components was performed using derivative‐free restricted maximum likelihood estimation using the MTDFREML package. Six predictive variables were tested to estimate the coefficient of regression equation and to select the most suitable model for predicting LEA. The estimated genetic parameter for body weight showed moderate‐to‐high heritability estimates of 0.26 (0.01) and 0.49 (0.01) at 221 and 623 days respectively. The genetic correlation (rg) estimates between body size measurements were positive and ranged from low to high at both ages. The heritability for LEA in this assessment was 0.39 (0.03). The genetic and phenotypic correlations between LEA and the other body measurements ranged from 0.16 to 0.94 and 0.75 and 0.90 respectively. The outcomes of this study can contribute to the development of a genetics‐based breeding program that will improve (tambaqui) productivity and carcass quality.

Computer vision system using deep learning to predict rib and loin yield in the fish Colossoma macropomum

“…In this study, heritability for body parts yield (%) ranged from low to moderate (0.10-0.27). These results indicate lower values compared with a recent study that estimated high heritability for body yield of two traits in tambaqui, being the loin area (h 2 = 0.39) and the space between the ribs (h 2 = 0.50) (Perazza et al, 2019), and with other studies reported for common carp, Nile tilapia and seabass (0.20-0.35) (Kocour et al, 2007;Nguyen et al, 2010;Saillant et al, 2009;Vandeputte et al, 2017).…”

“…The results corroborate values described for other fish species, such as seabass (h 2 = 0.29-0.61) (Dupont-Nivet et al, 2010), Nile tilapia (h 2 = 0.19-0.55) (Gjerde et al, 2012;Trọng et al, 2013), pacu (h 2 = 0.27-0.74) (Freitas et al, 2020) and tambaqui (h 2 = 0.22-0, 49) (Mello et al, 2016). However, slightly lower values were reported by Perazza et al (2019) in tambaqui for similar traits, although it should be considered that these values may vary according to the population analyzed.…”

“…In general, body weight is the main selection criteria in fish breeding programs aiming at better growth performance (Fraslin et al, 2018;Gjedrem, 2012). In tambaqui, previous studies have already been developed to assess the genetic parameters of growth-related traits, including weight gain, standard length, head size, height and width (Ariede et al, 2018(Ariede et al, , 2020Marcos et al, 2016;Mello et al, 2016;Perazza et al, 2019). Recently, the loin area and space between ribs were indirectly evaluated by ultrasound in tambaqui as they are considered prime cuts, similarly to cuts commercialized in the swine industry (Perazza et al, 2019).…”

The farming and husbandry ofColossoma macropomum: From Amazonian waters to sustainable production

“…Studying individuals from different fish farms having various degrees of domestication, Mello et al 217 showed high estimates a posteriori of mean heritability ( h 2 ) for body weight (0.44 and 0.42) and for daily weight gain (0.49 and 0.40) at 12 and 24 months, respectively. Using groups sourced from another commercial breeder, Perazza et al 218 reported moderate‐to‐high heritability estimates of 0.26 at 221 days and 0.49 at 623 days for body weight, and 0.41 at 623 days for daily weight gain. This study also estimated parameters for a new trait of interest for industrial fish processing, loin eye area (LEA), with h 2 = 0.39.…”

Genomic selection signatures in farmed Colossoma macropomum from tropical and subtropical regions in South America

“…Genomic breeding programs for tambaqui were initiated in the first decade of the 21 st century, with emphasis on improving the growth performance and disease resistance of these fish (Ariede et al, 2020 ; De Mello et al, 2015 ; Lira et al, 2020 ; Perazza et al, 2019 ). Although the assessment of genetic diversity is a fundamental step in the introduction of genomic breeding programs (Mastrochirico‐Filho et al, 2019 ), there have been few large‐scale population genetic studies of farmed populations (Mastrochirico‐Filho et al, 2021 ; Nunes et al, 2017 , 2020 ).…”